AI Mask

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AI Mask is a transformation component that uses the Databricks ai_mask() function to invoke generative AI to mask specified entities in text in your input table. This function uses a Databricks chat model serving endpoint made available by Databricks Foundation Model APIs.

The output is a string where the specified information (label) is masked.

Note

Make sure you have read and understand the Requirements set out by Databricks before using this component.

Properties

Name = string

A human-readable name for the component.

Column = drop-down

Select the column that holds data you wish to mask.

Mask Labels = column editor

Add mask labels as text strings. Each label represents a type of information to be masked. For example, adding a mask label of name prompts the component to mask any names in a given row.

Include Input Columns = boolean

Yes: Includes both your input column and the newly created masked column. This will also include those input columns not selected in Column.
No: Only includes the new, masked column.

Snowflake	Databricks	Amazon Redshift
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